for cluster 0:
for cluster 1:
item 고양이용품 has different mean with total dataset; (3.299518677371703, 0.0009909005140444082)
item 골프 has different mean with total dataset; (2.2027005968132984, 0.027740297838069142)
item 기능성건강 has different mean with total dataset; (3.4992108669368958, 0.0004793779071884237)
item 남성어덜트캐주얼 has different mean with total dataset; (2.0028544157994808, 0.04534364652717147)
item 석류 has different mean with total dataset; (2.090670045665515, 0.03670272271987567)
item 스낵 has different mean with total dataset; (16.74676631306228, 1.558399904946653e-58)
item 스포츠슈즈 has different mean with total dataset; (1.9651539914316039, 0.04955514830267115)
item 시즌행사 has different mean with total dataset; (3.277927144713126, 0.0010671906320496205)
item 시티캐주얼 has different mean with total dataset; (3.26787436537591, 0.0011070949867525788)
item 언더웨어행사 has different mean with total dataset; (2.1998402667187427, 0.027943694964898326)
item 여성양말 has different mean with total dataset; (2.1488676084319867, 0.03177566201141486)
item 여성캐주얼브랜드 has different mean with total dataset; (2.2998924911678675, 0.021554416225706415)
item 유가공 has different mean with total dataset; (4.489761869189406, 7.639010897485679e-06)
item 유아용품 has different mean with total dataset; (4.969825562592848, 7.440818348791663e-07)
item 육포 has different mean with total dataset; (2.61715158492918, 0.008942899383670325)
item 이지캐주얼브랜드 has different mean with total dataset; (9.116678446307832, 1.698785084427786e-19)
item 일반욕실용품 has different mean with total dataset; (3.1315753697371673, 0.0017668736069170812)
item 일반헤어케어 has different mean with total dataset; (5.320540531255847, 1.1757586014716487e-07)
item 자동차방향제/소취제 has different mean with total dataset; (2.3633501446683924, 0.018218991815612654)
item 자몽 has different mean with total dataset; (3.4961957674164825, 0.000483965223227956)
item 전통주 has different mean with total dataset; (2.7262226191205965, 0.0064353464576787185)
item 조기/명태 has different mean with total dataset; (2.7844816550654947, 0.005421942723645665)
item 조리반찬 has different mean with total dataset; (5.829384141093576, 6.69317988462707e-09)
item 즉석구이김 has different mean with total dataset; (3.3292939653298985, 0.0008908003285027032)
item 즉석구이안주 has different mean with total dataset; (2.761922559053466, 0.005812776187761255)
item 즉석도정미 has different mean with total dataset; (2.0201197872278196, 0.04352007894963683)
item 차 has different mean with total dataset; (3.2819222791706495, 0.0010505744017778357)
item 천연조미료 has different mean with total dataset; (2.1598378912790523, 0.030918314136866885)
item 캐주얼슈즈 has different mean with total dataset; (2.708985962323969, 0.006819355442602371)
item 튀김 has different mean with total dataset; (8.738288771106687, 5.397328154161333e-18)
item 특산물행사 has different mean with total dataset; (2.0210336406477367, 0.04343083626531548)
item 파인애플 has different mean with total dataset; (3.2077549690916483, 0.001357670990579247)
item 풋/핸드케어 has different mean with total dataset; (1.9937408385161055, 0.046334013199781296)
item 피자 has different mean with total dataset; (2.7535758197210662, 0.005961707314918512)
item 해초 has different mean with total dataset; (2.7304216619233164, 0.006391809829774491)
item 호주산소고기 has different mean with total dataset; (6.486466114885406, 1.0794459720056244e-10)
item 홍인삼 has different mean with total dataset; (2.4126080885119414, 0.01594407706362072)
item 황태 has different mean with total dataset; (4.036475031711779, 5.67086854421223e-05)
item 훼이셜케어 has different mean with total dataset; (4.088110433896342, 4.530666881109829e-05)
for cluster 2:
item 가공식품 has different mean with total dataset; (4.169979561618935, 4.004112980683585e-05)
item 골프용품 has different mean with total dataset; (2.4242858615716805, 0.01589207665766375)
item 모피/피혁 has different mean with total dataset; (2.227991389994793, 0.026646212747087814)
item 시티웨어 has different mean with total dataset; (11.189041721371742, 2.2857928495627204e-24)
for cluster 3:
for cluster 4:
item 가공식품 has different mean with total dataset; (4.296338237349972, 1.9633809882508828e-05)
item 가공우유 has different mean with total dataset; (22.67109618660454, 1.65571374758071e-98)
item 고급 has different mean with total dataset; (3.5327085210484697, 0.0004387078204510708)
item 너트류 has different mean with total dataset; (3.808606598123489, 0.00015253606009145372)
item 봉투보증금 has different mean with total dataset; (3.2267445173992773, 0.0013144214563215967)
item 샐러드 has different mean with total dataset; (2.015783962142943, 0.04421796517624327)
item 스타킹 has different mean with total dataset; (2.349965170780579, 0.019061933798275164)
item 파인애플 has different mean with total dataset; (3.146907089735294, 0.0017252174898439315)
item 화과자 has different mean with total dataset; (2.0913603854854945, 0.03679823077036847)
for cluster 5:
item VIDEOGAME has different mean with total dataset; (3.1391533791016957, 0.0017561419401339127)
item 가방브랜드 has different mean with total dataset; (2.0692131063237613, 0.03883144370506655)
item 구기용품 has different mean with total dataset; (3.229625148388257, 0.0012881411350066146)
item 드레스화브랜드 has different mean with total dataset; (2.405731873237307, 0.016219144139619626)
item 라켓스포츠 has different mean with total dataset; (2.900300427611405, 0.0038272432181782534)
item 레스토랑 has different mean with total dataset; (5.722123845027699, 1.4689457413635092e-08)
item 문화센터 has different mean with total dataset; (3.7450904876263262, 0.0001933301482161954)
item 미시캐주얼 has different mean with total dataset; (2.6622513506477214, 0.007908946029445441)
item 복합샵 has different mean with total dataset; (5.502631110923063, 5.0599555411693214e-08)
item 브랜드침구 has different mean with total dataset; (3.3261214885453922, 0.000920236262653159)
item 비즈니스정장 has different mean with total dataset; (2.795658478086265, 0.005301426313026446)
item 소가구 has different mean with total dataset; (2.286190630863014, 0.022497269183683426)
item 수예시즌 has different mean with total dataset; (2.572266051425233, 0.01027556229791486)
item 수족관용품 has different mean with total dataset; (3.059956551400694, 0.002282546007111554)
item 스낵 has different mean with total dataset; (3.0507958267608606, 0.0023472333835642145)
item 스포츠ACC has different mean with total dataset; (2.3808897998518184, 0.017497488868674586)
item 스포츠슈즈 has different mean with total dataset; (3.7638729570974294, 0.00017904877543202676)
item 시즌슈즈 has different mean with total dataset; (2.3449346538540445, 0.019266490583197918)
item 시즌잡화 has different mean with total dataset; (3.0572784112854094, 0.0023062866662915157)
item 시즌행사 has different mean with total dataset; (5.190552408178539, 2.638680518768235e-07)
item 시티캐주얼 has different mean with total dataset; (2.684460687395138, 0.0073984492121600244)
item 아동브랜드 has different mean with total dataset; (12.051141219593685, 7.895592509276176e-31)
item 아동침구 has different mean with total dataset; (3.344648842338019, 0.000861004775779973)
item 양말선물세트 has different mean with total dataset; (2.2127278518412683, 0.027179905070099757)
item 언더웨어행사 has different mean with total dataset; (3.5382266267707227, 0.00042581547153327945)
item 여성양말 has different mean with total dataset; (4.586106799824049, 5.2264246351596904e-06)
item 여성캐주얼브랜드 has different mean with total dataset; (5.41677512014305, 8.057757139423002e-08)
item 우산/양산 has different mean with total dataset; (4.0755348782446195, 5.039266538266879e-05)
item 원예용품 has different mean with total dataset; (2.771136471693107, 0.005714618754988028)
item 윈터스포츠 has different mean with total dataset; (1.976133588091999, 0.048480968672344145)
item 유아식기 has different mean with total dataset; (5.987745863360044, 2.9591378635052835e-09)
item 유아토들러 has different mean with total dataset; (4.4030318504429005, 1.2097409404265626e-05)
item 음반영상 has different mean with total dataset; (2.477014149070591, 0.01345286352357941)
item 이온음료 has different mean with total dataset; (4.1772835929693075, 3.262227283015938e-05)
item 이유식/유아간식 has different mean with total dataset; (2.9400017137169403, 0.003367972943860945)
item 이지캐주얼브랜드 has different mean with total dataset; (3.516266350869233, 0.0004589154658185845)
item 일반욕실용품 has different mean with total dataset; (6.570630521599731, 8.823130833759374e-11)
item 일반헤어케어 has different mean with total dataset; (2.4370896988412127, 0.015007177285403264)
item 자동차방향제/소취제 has different mean with total dataset; (3.8122501574926604, 0.00014773766941317146)
item 자전거 has different mean with total dataset; (2.253100425479823, 0.024515160430885093)
item 잡화멀티샵 has different mean with total dataset; (3.6862576540256966, 0.00024230594700336156)
item 장갑 has different mean with total dataset; (4.075172723625158, 5.049863395889176e-05)
item 장식용품 has different mean with total dataset; (2.895350285831641, 0.0038858733981311762)
item 주니어양말 has different mean with total dataset; (3.848673031991668, 0.00012806047411557665)
item 준보석 has different mean with total dataset; (2.2866872216273717, 0.02246780422280091)
item 즉석구이김 has different mean with total dataset; (3.438455499031144, 0.0006135635148857926)
item 즉석구이안주 has different mean with total dataset; (2.7838558310824024, 0.005485070230344183)
item 즉석도정미 has different mean with total dataset; (2.923474038100338, 0.0035515019681050535)
item 차 has different mean with total dataset; (4.075877350494336, 4.9897533684391174e-05)
item 천연조미료 has different mean with total dataset; (2.5787901103295394, 0.010088916515979544)
item 카시트/매트 has different mean with total dataset; (2.362912259396963, 0.018365691423449376)
item 카페 has different mean with total dataset; (2.197175939892018, 0.028260200962921186)
item 캐주얼슈즈 has different mean with total dataset; (3.135721333843031, 0.001775884512828499)
item 캐주얼화브랜드 has different mean with total dataset; (3.1452972715583463, 0.0017109963662398048)
item 커튼류 has different mean with total dataset; (2.8183220942025846, 0.004944179149896703)
item 튀김 has different mean with total dataset; (2.9270362251739055, 0.003512773508559976)
item 판매시설 has different mean with total dataset; (5.193152059614473, 2.6271001266393263e-07)
item 편의시설 has different mean with total dataset; (5.4988240839221705, 5.154387564364852e-08)
item 푸드코트 has different mean with total dataset; (13.291866607767933, 1.5532551958740325e-36)
item 헬스용품 has different mean with total dataset; (2.0774775063512476, 0.03805282813787264)
item 홍인삼 has different mean with total dataset; (2.2437765465853268, 0.02510429246746001)
item 황태 has different mean with total dataset; (2.6692733172703442, 0.0077491241466846805)
for cluster 6:
item H&B선물세트 has different mean with total dataset; (2.19468540966767, 0.028696471663472816)
item 가공식품 has different mean with total dataset; (8.896651243111338, 1.255737125736185e-17)
item 가공우유 has different mean with total dataset; (18.462679372883937, 8.064887538563822e-57)
item 계절완구 has different mean with total dataset; (2.305311501744621, 0.021611523046977124)
item 고급 has different mean with total dataset; (4.070322543613183, 5.558716533108937e-05)
item 과일야채 has different mean with total dataset; (2.9194502193580956, 0.003681355848781106)
item 구기용품 has different mean with total dataset; (2.5756948795244514, 0.010324229097019126)
item 기능성건강 has different mean with total dataset; (2.3633458798884615, 0.018526844728952444)
item 너트류 has different mean with total dataset; (2.7553266710329014, 0.006102661157002396)
item 레스토랑 has different mean with total dataset; (2.7622243213812046, 0.005969129292330138)
item 롤샌드/핫도그 has different mean with total dataset; (2.7321596300501723, 0.006544440509741406)
item 리쿼 has different mean with total dataset; (4.016964811084675, 6.927210349913465e-05)
item 매트 has different mean with total dataset; (2.496104268418408, 0.01291385195110576)
item 봉투보증금 has different mean with total dataset; (4.537041744327637, 7.355697128410409e-06)
item 샐러드 has different mean with total dataset; (2.022806413000462, 0.04369345602563288)
item 생선초밥 has different mean with total dataset; (2.6172930712903146, 0.009163474095521016)
item 수입게 has different mean with total dataset; (2.1000942816404233, 0.036281759659578965)
item 수족관용품 has different mean with total dataset; (3.2560542121921814, 0.001214724355353975)
item 스낵 has different mean with total dataset; (7.36318633690931, 8.514853996271239e-13)
item 스타킹 has different mean with total dataset; (5.988177534343326, 4.3396922642130456e-09)
item 스포츠슈즈 has different mean with total dataset; (2.233675043116174, 0.025991011505106677)
item 시즌행사 has different mean with total dataset; (4.4540756311072585, 1.062349812210856e-05)
item 시티캐주얼 has different mean with total dataset; (1.9964644625942678, 0.046452551544514255)
item 식빵 has different mean with total dataset; (3.167068025053777, 0.001646276301261321)
item 아동브랜드 has different mean with total dataset; (2.835693965104684, 0.004773143844169801)
item 아동완구 has different mean with total dataset; (2.7181717064138744, 0.006823158656180564)
item 언더웨어행사 has different mean with total dataset; (2.2652591724076183, 0.023965302909281904)
item 여성양말 has different mean with total dataset; (2.24634072442009, 0.02515286875852458)
item 우산/양산 has different mean with total dataset; (2.412642908237124, 0.016235793013471566)
item 유가공 has different mean with total dataset; (3.9023946745881886, 0.00010955913382563757)
item 육포 has different mean with total dataset; (3.776652514243242, 0.00018059702762960515)
item 음반영상 has different mean with total dataset; (1.9975648609894918, 0.04635577779725012)
item 이온음료 has different mean with total dataset; (4.228187519355287, 2.8615007144877903e-05)
item 이유식/유아간식 has different mean with total dataset; (2.2758965663843975, 0.023301981315638442)
item 일반욕실용품 has different mean with total dataset; (3.6747322891027645, 0.0002663583648462336)
item 일반헤어케어 has different mean with total dataset; (3.6504897772714218, 0.00029165189371464117)
item 자몽 has different mean with total dataset; (2.657227941058873, 0.00815917058525223)
item 장식용품 has different mean with total dataset; (2.002492144068149, 0.0458216160079234)
item 제습제 has different mean with total dataset; (4.35083932450495, 1.6778149519934578e-05)
item 조리반찬 has different mean with total dataset; (2.959884442627607, 0.003241477885378382)
item 준보석/시계 has different mean with total dataset; (2.428077683590707, 0.015565884811163638)
item 즉석구이김 has different mean with total dataset; (2.0377490731020953, 0.0421228559344189)
item 즉석구이안주 has different mean with total dataset; (3.121500186542463, 0.0019142172146312587)
item 즉석도정미 has different mean with total dataset; (3.8957381914056737, 0.00011250734575521332)
item 차 has different mean with total dataset; (4.476494665495747, 9.651964543803694e-06)
item 커피선물세트 has different mean with total dataset; (2.012227402419698, 0.04479850585794824)
item 탈취제 has different mean with total dataset; (2.6850038696987832, 0.007437365248417835)
item 튀김 has different mean with total dataset; (3.5644959603735913, 0.00040374738087551253)
item 특산물행사 has different mean with total dataset; (2.956456309658245, 0.0032755036153706393)
item 파인애플 has different mean with total dataset; (3.5998614780999914, 0.0003530943176306138)
item 편의시설 has different mean with total dataset; (2.629746646171583, 0.00883110128828684)
item 편의점카페 has different mean with total dataset; (2.698784390218705, 0.007225818684432439)
item 포장반찬HMR has different mean with total dataset; (2.0430638150279155, 0.0416271722613942)
item 푸드코트 has different mean with total dataset; (3.2304433114980236, 0.0013208979888890827)
item 풋/핸드케어 has different mean with total dataset; (2.871370048642461, 0.004277262401952289)
item 프리미엄 has different mean with total dataset; (2.5486550022831826, 0.011151919207580317)
item 피자 has different mean with total dataset; (2.4939003520921585, 0.012997006688289733)
item 피혁잡화 has different mean with total dataset; (3.3113970201935667, 0.0009829417032764217)
item 필기용품 has different mean with total dataset; (3.050994937144037, 0.002418001852558694)
item 호주산소고기 has different mean with total dataset; (4.8317814129719485, 1.8455840176034636e-06)
item 홍인삼 has different mean with total dataset; (2.0351129175260128, 0.04242325460910611)
item 화과자 has different mean with total dataset; (3.425935634345291, 0.0006701364732934837)
item 황태 has different mean with total dataset; (2.498320696131178, 0.012819456318517846)
item 훼이셜케어 has different mean with total dataset; (3.066738664971315, 0.0022942636343456896)
for cluster 7:
item 브랜드침구 has different mean with total dataset; (2.041790380942419, 0.041390063001026434)
item 수족관용품 has different mean with total dataset; (4.207645484708913, 2.7799488292674238e-05)
item 유아식기 has different mean with total dataset; (2.621717126641919, 0.008831305976674746)
item 유아토들러 has different mean with total dataset; (3.464117668536925, 0.0005510184878053284)
item 자동차방향제/소취제 has different mean with total dataset; (2.403860586829403, 0.016369548979066912)
item 차 has different mean with total dataset; (2.7460415678363406, 0.0061197335874611245)
item 편의시설 has different mean with total dataset; (5.441985897135, 6.37633507752101e-08)
for cluster 8:
item 주유소 has different mean with total dataset; (4.684355416880827, 4.037087891189402e-06)
for cluster 9:
item 가공식품 has different mean with total dataset; (16.576842168928824, 1.5253742326741789e-56)
item 가구 has different mean with total dataset; (4.205197567169471, 2.7764552566674702e-05)
item 고급 has different mean with total dataset; (2.6183205858883465, 0.008932593098766227)
item 남성정장 has different mean with total dataset; (8.507735905962754, 4.482250170627378e-17)
item 대형가전 has different mean with total dataset; (4.628566871489823, 4.027773188080562e-06)
item 보석 has different mean with total dataset; (2.7703526885035044, 0.005671559639356199)
item 아이메이크업 has different mean with total dataset; (5.2566043400674225, 1.68113860022173e-07)
item 준보석/시계 has different mean with total dataset; (4.31772655770003, 1.686833160510731e-05)
item 피혁잡화 has different mean with total dataset; (5.046317386661228, 5.112021680827198e-07)
for cluster 10:
item H&B선물세트 has different mean with total dataset; (2.336007559538318, 0.01966790557602582)
item 가공식품 has different mean with total dataset; (4.30559515212599, 1.8071835992884385e-05)
item 가공우유 has different mean with total dataset; (3.088726765048904, 0.00204390546823889)
item 가방브랜드 has different mean with total dataset; (3.0209159188603585, 0.002580196927794116)
item 고양이용품 has different mean with total dataset; (2.0780203679345783, 0.03789654297534873)
item 골프 has different mean with total dataset; (2.438083244685053, 0.014925823769131754)
item 구기용품 has different mean with total dataset; (2.5230305212432445, 0.011776037508069222)
item 기능성건강 has different mean with total dataset; (4.851036904876932, 1.4151792993014777e-06)
item 김선물세트 has different mean with total dataset; (2.101713596417747, 0.035806761110779614)
item 동물병원 has different mean with total dataset; (3.357156762527558, 0.0008166152010553196)
item 드레스화브랜드 has different mean with total dataset; (2.453913060962311, 0.014195827194611198)
item 레스토랑 has different mean with total dataset; (5.30933387233083, 1.3353566915805156e-07)
item 문화센터 has different mean with total dataset; (2.2708125908280343, 0.023341688551382432)
item 미시캐주얼 has different mean with total dataset; (2.659983182372438, 0.007937515042047857)
item 벽지류 has different mean with total dataset; (3.01989550540186, 0.002589688034272541)
item 브랜드침구 has different mean with total dataset; (2.974139472785427, 0.003004144545314632)
item 비즈니스정장 has different mean with total dataset; (3.5986385648112393, 0.00033460271940092336)
item 생선초밥 has different mean with total dataset; (2.4996605100954135, 0.01258758357359572)
item 석류 has different mean with total dataset; (3.5590827659700213, 0.0003890466375662874)
item 소가구 has different mean with total dataset; (3.724767655575817, 0.00020584042080109538)
item 수예시즌 has different mean with total dataset; (4.823207731161628, 1.6233255376231674e-06)
item 수입게 has different mean with total dataset; (2.6130632326403855, 0.00909879978932009)
item 수입돼지고기 has different mean with total dataset; (2.5087109565887524, 0.012272491944525558)
item 수족관용품 has different mean with total dataset; (3.7887353230010743, 0.00015976657348003108)
item 스낵 has different mean with total dataset; (14.634684525390055, 3.2819016341297396e-44)
item 스타킹 has different mean with total dataset; (5.363247156762912, 1.0060050635852453e-07)
item 스포츠ACC has different mean with total dataset; (2.3070601563637174, 0.021246955130024742)
item 스포츠슈즈 has different mean with total dataset; (3.1217481305278807, 0.0018458601854104834)
item 스포츠의류 has different mean with total dataset; (2.206296767296592, 0.027569949416031157)
item 시계 has different mean with total dataset; (2.693997425891744, 0.007170131008612731)
item 시즌슈즈 has different mean with total dataset; (2.7068421636788953, 0.006899624161071093)
item 시즌잡화 has different mean with total dataset; (2.6989801386323733, 0.007061670696631192)
item 시즌행사 has different mean with total dataset; (5.028888818883001, 5.79558303879999e-07)
item 시티캐주얼 has different mean with total dataset; (4.279497025767715, 2.0399662114201237e-05)
item 식사류 has different mean with total dataset; (5.715436361270091, 1.4382782653032952e-08)
item 식자재 has different mean with total dataset; (2.9630226548756355, 0.0031171816376912207)
item 아동브랜드 has different mean with total dataset; (2.2368399892840345, 0.0254934487638671)
item 아동침구 has different mean with total dataset; (3.420257749584599, 0.0006497221396002999)
item 아로마 has different mean with total dataset; (4.919178689825357, 1.0095099755165663e-06)
item 아이메이크업 has different mean with total dataset; (2.2294131334354232, 0.02599680663256399)
item 애견용품 has different mean with total dataset; (9.09860044916775, 4.725201467336431e-19)
item 언더웨어행사 has different mean with total dataset; (4.098772854837724, 4.463065875182085e-05)
item 여성양말 has different mean with total dataset; (5.6897530342605975, 1.6437314917758052e-08)
item 여성캐주얼브랜드 has different mean with total dataset; (4.598210697763472, 4.722422410127076e-06)
item 원예용품 has different mean with total dataset; (3.3055864179545322, 0.000980404693903099)
item 유가공 has different mean with total dataset; (8.474975462762382, 7.804558763088175e-17)
item 유아식기 has different mean with total dataset; (3.2586277178437193, 0.0011482943806549887)
item 유아용품 has different mean with total dataset; (3.084334522837267, 0.002093171459059815)
item 육포 has different mean with total dataset; (5.701571035526521, 1.5416521623717162e-08)
item 음반영상 has different mean with total dataset; (2.4111176557170233, 0.016070592963181283)
item 이온음료 has different mean with total dataset; (6.5475724456555895, 9.176703702146386e-11)
item 이유식/유아간식 has different mean with total dataset; (5.5333976388521, 3.996838473014277e-08)
item 이지캐주얼브랜드 has different mean with total dataset; (13.304128905965118, 2.341667002069992e-37)
item 인스턴트선물세트 has different mean with total dataset; (2.6244645567410427, 0.008799853232568856)
item 일반욕실용품 has different mean with total dataset; (8.568983195164765, 3.56255795503135e-17)
item 일반헤어케어 has different mean with total dataset; (5.752306204148443, 1.156614841735934e-08)
item 자동차방향제/소취제 has different mean with total dataset; (5.759569684958471, 1.1038672984159629e-08)
item 자몽 has different mean with total dataset; (6.35641367452082, 3.077803405507466e-10)
item 잡화멀티샵 has different mean with total dataset; (3.339027342183163, 0.0008706467328397145)
item 장식용품 has different mean with total dataset; (2.701437211425631, 0.007012684433664166)
item 전통주 has different mean with total dataset; (12.206479467574448, 4.475394493930141e-32)
item 제습제 has different mean with total dataset; (4.639521498976986, 3.93716246247134e-06)
item 조기/명태 has different mean with total dataset; (5.004545817165185, 6.578649968708504e-07)
item 조리반찬 has different mean with total dataset; (6.10688343497605, 1.4340516079078073e-09)
item 조명기구 has different mean with total dataset; (3.367321612847052, 0.000785670877062855)
item 주니어양말 has different mean with total dataset; (2.9358670495445724, 0.0033979724422648905)
item 준보석 has different mean with total dataset; (3.888234574377179, 0.00010733507121506645)
item 즉석구이김 has different mean with total dataset; (4.378971965702216, 1.3117886891385495e-05)
item 즉석구이안주 has different mean with total dataset; (3.6861321873398154, 0.00023893607234442445)
item 즉석도정미 has different mean with total dataset; (4.594323132519724, 4.864887731845669e-06)
item 차 has different mean with total dataset; (7.618326112057484, 5.6590122880599855e-14)
item 천연조미료 has different mean with total dataset; (2.9515694520376714, 0.0032272697070919506)
item 캐주얼슈즈 has different mean with total dataset; (2.365537012943426, 0.01817790948681538)
item 캠핑 has different mean with total dataset; (2.7848206598219964, 0.005451281817607978)
item 커피선물세트 has different mean with total dataset; (2.328916913422505, 0.020047424352357863)
item 튀김 has different mean with total dataset; (8.677521363361915, 1.5523559638988482e-17)
item 특산물행사 has different mean with total dataset; (5.330150794897585, 1.2024150037460052e-07)
item 파인애플 has different mean with total dataset; (3.8246762103927754, 0.00013885426018664732)
item 편의시설 has different mean with total dataset; (2.619092043934406, 0.008930957265780113)
item 포장반찬HMR has different mean with total dataset; (4.2350867878887835, 2.4882732841116502e-05)
item 포장젓갈 has different mean with total dataset; (4.6852745760784265, 3.1689252920008937e-06)
item 풋/핸드케어 has different mean with total dataset; (4.443030668154154, 9.820205546586495e-06)
item 피자 has different mean with total dataset; (2.50942202117538, 0.012230322183084806)
item 한방차 has different mean with total dataset; (3.9766576141812755, 7.472808441754368e-05)
item 해초 has different mean with total dataset; (7.016562485764557, 4.080312601371517e-12)
item 헬스용품 has different mean with total dataset; (5.413637262463601, 7.66523935179359e-08)
item 호주산소고기 has different mean with total dataset; (13.714370531980986, 2.0604862076459165e-39)
item 홍인삼 has different mean with total dataset; (3.5666295811266493, 0.00037787326937315164)
item 황태 has different mean with total dataset; (7.44352609383247, 2.0520382897497898e-13)
item 훼이셜케어 has different mean with total dataset; (6.09496252220006, 1.5413571802284243e-09)
for cluster 11:
item 가공식품 has different mean with total dataset; (11.267338761139396, 1.230706902311849e-27)
item 가구 has different mean with total dataset; (3.632329661082308, 0.00029609669396605094)
item 골프 has different mean with total dataset; (2.4472067704660314, 0.014602399630841917)
item 골프용품 has different mean with total dataset; (14.94293797836554, 7.407873347928993e-45)
item 과자 has different mean with total dataset; (9.1888540915786, 3.1690840036893575e-19)
item 남성정장 has different mean with total dataset; (6.720387110226764, 3.315994736775047e-11)
item 남성케어 has different mean with total dataset; (3.529517774810427, 0.00043833169375004144)
item 대형가전 has different mean with total dataset; (4.593724940316933, 5.002726544462383e-06)
item 모피/피혁 has different mean with total dataset; (3.1208639462353025, 0.0018640003484219861)
item 보석 has different mean with total dataset; (2.9260544218830993, 0.0035219665872954294)
item 선케어 has different mean with total dataset; (2.9861656422897718, 0.002906814495019906)
item 시티웨어 has different mean with total dataset; (3.0344190275976417, 0.002470498193023191)
item 아이메이크업 has different mean with total dataset; (2.845524272125776, 0.004540683320669033)
item 준보석/시계 has different mean with total dataset; (3.8323436503275916, 0.00013590860107869792)
item 피혁잡화 has different mean with total dataset; (2.529510261849613, 0.011509535393516882)
for cluster 12:
item 레스토랑 has different mean with total dataset; (3.7162288974480937, 0.00020895792944117608)
item 카페 has different mean with total dataset; (2.018117260822943, 0.04373318236422914)
item 컨세션 has different mean with total dataset; (3.4374066775338084, 0.0006023751725724242)
for cluster 13:
item 피혁잡화 has different mean with total dataset; (1.9822767241395405, 0.04753098993527463)